Experimental Validation of a Robust Continuous Nonlinear Model Predictive Control Based Grid-Interlinked Photovoltaic Inverter

Rachid Errouissi, S. M. Muyeen, Ahmed Al-Durra, Siyu Leng

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

This paper presents a robust continuous nonlinear model predictive control (CNMPC) for a grid-connected photovoltaic (PV) inverter system. The objective of the proposed approach is to control the power exchange between the grid and a PV system, while achieving unity power factor operation. As the continuous nonlinear MPC cannot completely remove the steady-state error in the presence of disturbances, the nonlinear disturbance observer-based control is adopted to estimate the offset caused by parametric uncertainties and external perturbation. The stability of the closed-loop system under both nonlinear predictive control and disturbance observer is ensured by convergence of the output-tracking error to the origin. The proposed control strategy is verified using a complete laboratory-scale PV test-bed system consisting of a PV emulator, a boost converter, and a grid-tied inverter. High performance with respect to dc-link voltage tracking, grid current control, disturbance rejection, and unity power factor operation has been demonstrated.

Original languageEnglish
Article number7355335
Pages (from-to)4495-4505
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number7
DOIs
Publication statusPublished - Jul 2016
Externally publishedYes

Keywords

  • Continuous nonlinear model predictive control (CNMPC)
  • disturbance observer
  • grid-connected inverter system
  • photovoltaic (PV) system
  • renewable energy
  • unmatched disturbance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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